Agentic development workflows
Claude Code agents and skills that run tests, lint and builds, open commits and pull requests, and keep the noisy output out of the main session.
01 · context
Frontend platforms, built with AI
Frontend engineer since 2015, working on enterprise web platforms: component frameworks, micro-frontend architecture, test strategy and security remediation. Today most of my work is about making AI a reliable part of the engineering loop, not a side tool.
BS in Information Systems, PUC Minas
02 · ai
How I work with AI
I use AI agents as part of the engineering process, with the same quality gates as any other contributor.
AI-assisted testing
Agents that write and maintain unit and end-to-end tests, aimed at full coverage from the bottom of the component tree up.
Multi-model code review
Two independent reviews of the same diff, from different models, merged into one report so disagreements get a closer look.
Model Context Protocol
Connecting agents to real tools and data through MCP servers, from API documentation to image generation.
03 · open source
ZL.js
An open-source, AI-first frontend framework.
Every enterprise frontend team starts the same way: it assembles a component library, an application framework, state management and a styling system, makes them work together, and then customizes the result from scratch, each with its own mistakes and its own quality rules.
ZL.js joins the steps every team repeats (integrate the stack, customize it, verify it) in one open pipeline driven by an AI agent that works from a tested component library, with quality rules enforced from the first commit.
available
- Tested React component library, documented in Storybook
- Conversational agent that composes interfaces from natural-language prompts
- Quality kit with shared lint, format and commit rules
roadmap
- Agent that composes interfaces only from library components
- Agentic project bootstrap with the integrated stack and quality kit
- Security checks on dependencies and known vulnerabilities before release
04 · credentials
Certifications
Anthropic
- Claude Certified Architect - Foundations2026
- Claude 1012026
- Claude Code 1012026
- Claude Code in Action2026
- Introduction to Model Context Protocol2026
- Model Context Protocol: Advanced Topics2026
- Introduction to Agent Skills2026
- Introduction to Subagents2026
- Introduction to Claude Cowork2026
- AI Fluency: Framework & Foundations2026
- Building with the Claude APIin progress
- Claude on Google Cloudin progress
- AI Capabilities and Limitationsin progress
MIT Professional Education
- Applied Agentic AI for Organizational Transformation2026
Google Cloud
- Introduction to AI and Machine Learning on Google Cloud2025
- Prepare Data for ML APIs on Google Cloud2025
- Working with Notebooks in Vertex AI2025
Microsoft
- Programming in HTML5 with JavaScript and CSS3 (70-480)2018
Scrum.org
- Professional Scrum Master I2018
MongoDB University
- MongoDB Basics2019
- Basic Cluster Administration2019
- The MongoDB Aggregation Framework2019
- MongoDB Performance2019
- MongoDB for JavaScript Developers2019
- MongoDB for Python Developers2019
egghead.io
13 frontend courses, 2018 to 2021: React, TypeScript, Redux, testing, GraphQL and npm publishing.
05 · writing